Langleben Daniel D, Dattilio Frank M
Treatment Research Center, Department of Psychiatry, University of Pennsylvania School of Medicine, 3900, Chestnut Street, Philadelphia, PA 19104, USA.
J Am Acad Psychiatry Law. 2008;36(4):502-4.
In "Functional MRI Lie Detection: Too Good to be True?" in this issue of The Journal, Joseph Simpson reviews the merits and the limitations of using fMRI to detect deception. After presenting the gaps in experimental data that stand in the way of translating the laboratory proof of concept to a field application, Simpson surveys the legal, regulatory and ethics concerns facing fMRI, should it emerge as a technologically robust method of lie detection. In our commentary, we update and interpret the data described by Simpson, from the points of view of an experimental scientist and a forensic clinician. We conclude that the current research funding and literature are prematurely skewed toward discussion of existing findings, rather than generation of new fMRI data on deception and related topics such as mind-reading, consciousness, morality, and criminal responsibility. We propose that further progress in brain imaging research may foster the emergence of a new discipline of forensic MRI.
在本期《期刊》中的“功能磁共振成像测谎:好得难以置信?”一文中,约瑟夫·辛普森回顾了使用功能磁共振成像来检测欺骗行为的优点和局限性。在指出妨碍将实验室概念验证转化为实际应用的实验数据差距后,辛普森审视了如果功能磁共振成像成为一种技术上可靠的测谎方法,它所面临的法律、监管和伦理问题。在我们的评论中,我们从实验科学家和法医临床医生的角度,更新并解读了辛普森所描述的数据。我们得出结论,当前的研究资金和文献过早地倾向于对现有发现的讨论,而不是生成关于欺骗及诸如读心术、意识、道德和刑事责任等相关主题的新的功能磁共振成像数据。我们提议,脑成像研究的进一步进展可能会促成法医磁共振成像这一新学科的出现。